jpcbertoldo / aupimo
☆11Updated 4 months ago
Alternatives and similar repositories for aupimo:
Users that are interested in aupimo are comparing it to the libraries listed below
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆52Updated 4 months ago
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆35Updated 3 months ago
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆30Updated last year
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆72Updated this week
- ☆76Updated last year
- Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection☆31Updated 2 months ago
- ☆76Updated last week
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆79Updated last month
- [ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection☆29Updated 4 months ago
- ☆43Updated 2 years ago
- Valeo Anomaly Dataset (VAD)☆20Updated 3 months ago
- ☆48Updated last year
- ☆37Updated last year
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆38Updated 3 months ago
- official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"☆42Updated 10 months ago
- Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"☆52Updated last year
- Code for ECCV 2022 paper "Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization".☆55Updated last year
- (CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection☆134Updated last year
- Metal Parts Defect Detection Dataset☆27Updated 7 months ago
- Accurate reimplementation of WinCLIP (pytorch version)☆89Updated 3 months ago
- [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation☆29Updated 4 months ago
- ☆16Updated last year
- ☆22Updated last year
- This is an official implementation of the paper : "Target before Shooting: Accurate Anomaly Detection and Localization under One Millisec…☆96Updated 4 months ago
- Project for <SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation> (ECCV 2022)☆162Updated 2 years ago
- Official code for the paper "PNI : Industrial Anomaly Detection using Position and Neighborhood Information"☆42Updated last year
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆85Updated 4 months ago
- ☆38Updated 7 months ago
- [WACV2025] AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2☆70Updated last month